The invention relates to systems and methods for analyzing data collected from sensors monitoring property. In particular, the systems and methods analyze the data to make property insurance underwriting decisions based on the collected sensor data using a computerized process that varies the way in which it manipulates the collected sensor data based on a characteristic of the property being insured, a characteristic of the entity seeking the insurance, and/or on the value of one or more collected data parameters. The invention also relates to systems and methods of making property insurance pricing decisions based on a similarly dynamic computerized process.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A sensor based analysis system, comprising: a first communication device configured to receive a request to insure a property of an entity; a terminal comprising a remote communication device in communication with one or more property sensors monitoring the property and storing computer-readable instructions defining an automated webservice application configured to dynamically upload property sensor data received from the one or more property sensors; a second communication device configured to receive the property sensor data from the first communication device, wherein the property sensor data includes at least one data parameter; a memory configured to store (1) a plurality of sets of data parameters, wherein each of the plurality of sets is associated with one or more of (a) at least one characteristic of the property, (b) at least one characteristic of the entity, (c) a value of the at least one characteristic of the property, and (d) a value of the at least one characteristic of the entity, and (2) a plurality of underwriting and pricing algorithms; an application server configured, responsive to receipt of the request to insure the property, to: render, for display on the terminal, a series of user interfaces for requesting data indicative of the at least one characteristic of the property and data indicative of the at least one characteristic of the entity; receive, from the terminal, the data indicative of the at least one characteristic of the property and the data indicative of the at least one characteristic of the entity; receive, from the terminal, the property sensor data dynamically uploaded by the automated webservice application; dynamically select one of the plurality of sets of data parameters based on: (1) the received data indicative of the at least one characteristic of the property, (2) the received data indicative of the at least one characteristic of the entity, and (3) the received property sensor data; dynamically analyze, by a selected one of the plurality of underwriting and pricing algorithms that corresponds to the selected one of the plurality of sets of data parameters, the specific data parameters identified by the selected one of the plurality of sets identifying specific data parameters to be analyzed, to generate one of data indicative of an underwriting determination and data indicative of a pricing determination; and an output device configured to output the generated one of the data indicative of underwriting determination and data indicative of the pricing determination.
2. The system of claim 1 , wherein each of the plurality of underwriting and pricing algorithms is configured to apply a different set of sensor data parameter weights to the data parameters identified by the selected one of the plurality of sets of data parameters.
3. The system of claim 1 , wherein the application server is further configured to receive, from one or more third party vendor computer systems, additional data corresponding to one or both of the property or the entity; and wherein the underwriting determination and the data indicative of the pricing determination are further based upon the additional data.
4. The system of claim 1 , wherein the data indicative of the underwriting determination comprises an affirmative determination to offer a policy; wherein the automated webservice application is configured to dynamically upload additional property sensor data after issuance of a policy; and wherein the application server is configured to generate data indicative of a pricing determination, and to periodically adjust the data indicative of the pricing determination based upon the additional property sensor data.
5. The system of claim 1 , wherein the data indicative of the underwriting determination comprises an affirmative determination to offer a policy; wherein the application server is further configured to: receive additional property sensor data, after issuance of a policy, from a monitoring service computer system; and periodically adjust the data indicative of the pricing determination based upon the additional property sensor data.
6. The system of claim 1 , wherein the property comprises a vehicle, wherein the at least one characteristic of the property comprises one of a vehicle size characteristic, a vehicle safety rating characteristic, a vehicle engine size characteristic, a vehicle color characteristic, a vehicle cargo capacity characteristic, and a vehicle age characteristic; and wherein the specific data parameters to be analyzed include one or more of a speed data parameter, an acceleration data parameter, a braking data parameter, a turning speed data parameter, a blinker usage data parameter, a driving time of day data parameter, a mileage data parameter, a driving location data parameter, a seat belt usage data parameter, a number of passengers data parameter, an oil level data parameter, a tire pressure data parameter, an engine temperature data parameter, a brake condition data parameter, a fuel level data parameter, and a status of warning light indicators data parameter.
7. The system of claim 1 , wherein the property comprises a building, wherein the at least one characteristic of the property comprises one of a location characteristic, a size characteristic, a construction type characteristic, and a safety features characteristic; and wherein the specific data parameters to be analyzed include one or more of a temperature data parameter, a humidity data parameter, an exterior wind speeds data parameter, a times and durations of open doors and windows data parameter, an air quality data parameter, an occupancy data parameter, an operational hours data parameter, and a safety equipment condition data parameter.
8. The system of claim 1 , wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the data parameters identified by the one of the plurality of sets of data parameters.
9. A computer-implemented method, comprising: receiving, by a first communication device, a data request related to a property of an entity; responsive to receipt of the data request: dynamically uploading property sensor data collected by one or more property sensors on the property, by a terminal executing an automated webservice application, the terminal comprising a remote communication device in communication with the one or more property sensors; storing, in a data storage device, (1) a plurality of sets of data parameters to be analyzed, wherein each of the plurality of sets is associated with one or more of: (a) at least one characteristic of the property, (b) at least one characteristic of the entity, (c) a value of the at least one characteristic of the property, and (d) a value of the at least one characteristic of the entity, and (2) a plurality of underwriting and pricing algorithms; rendering, by an application server for display on the terminal, a series of user interfaces for requesting data indicative of the at least one characteristic of the property and data indicative of the at least one characteristic of the entity; transmitting, by the application server via the first communications device to the terminal, the series of user interfaces; receiving, by the application server via the first communications device from the terminal, the data indicative of the at least one characteristic of the property and the data indicative of the at least one characteristic of the entity; dynamically selecting, by the application server, one of the plurality of sets of data parameters, based on (1) the received data indicative of the at least one characteristic of the property, (2) the received data indicative of at least one characteristic of the entity, and (3) the received property sensor data; dynamically analyzing, by the application server based on a selected one of the plurality of underwriting and pricing algorithms that corresponds to the selected one of the plurality of sets of data parameters, the data parameters identified by the one of the plurality of sets of data parameters to generate one of data indicative of an underwriting determination and data indicative of the a pricing determination; and outputting, by an output device, the generated one of the data indicative of the underwriting determination and the data indicative of the pricing determination.
10. The computer-implemented method of claim 9 , wherein each of the plurality of underwriting and pricing algorithms is configured to apply a different set of sensor data parameter weights to the data parameters identified by the selected one of the plurality of sets of data parameters to be analyzed.
11. The computer-implemented method of claim 9 , wherein the application server is further configured to receive, from one or more third party vendor computer systems, additional data corresponding to one or both of the property or the entity; and wherein the underwriting determination and the data indicative of the pricing determination are further based upon the additional data.
12. The computer-implemented method of claim 9 , wherein the data indicative of the underwriting determination comprises an affirmative determination to offer a policy; wherein the automated webservice application is configured to dynamically upload additional property sensor data after issuance of a policy; and wherein the application server is further configured to periodically adjust the data indicative of the pricing determination based upon the additional property sensor data.
13. The computer-implemented method of claim 9 , wherein the data indicative of the underwriting determination comprises an affirmative determination to offer a policy; wherein the application server is further configured to: receive additional property sensor data after issuance of a policy from a monitoring service computer system; and periodically adjust the data indicative of the pricing determination based upon the additional property sensor data.
14. The computer-implemented method of claim 9 , wherein the property comprises a vehicle, wherein the at least one characteristic of the property comprises one of a vehicle size characteristic, a vehicle safety rating characteristic, a vehicle engine size characteristic, a vehicle color characteristic, a vehicle cargo capacity characteristic, and a vehicle age characteristic; and wherein the data parameters to be analyzed include one or more of a speed data parameter, an acceleration data parameter, a braking data parameter, a turning speed data parameter, a blinker usage data parameter, a driving time of day data parameter, a mileage data parameter, a driving location data parameter, a seat belt usage data parameter, a number of passengers data parameter, an oil level data parameter, a tire pressure data parameter, an engine temperature data parameter, a brake condition data parameter, a fuel level data parameter, and a status of warning light indicators data parameter.
15. The system of claim 9 , wherein the property comprises a building, wherein the at least one characteristic of the property comprises one of a location characteristic, size, a construction type characteristic, and a safety features characteristic; and wherein the data parameters to be analyzed include one or more of a temperature data parameter, a humidity data parameter, an exterior wind speeds data parameter, a times and durations of open doors and windows data parameter, an air quality data parameter, an occupancy data parameter, an operational hours data parameter, and a safety equipment condition data parameter.
16. The computer-implemented method of claim 9 , wherein the selected one of the plurality of underwriting and pricing algorithms is integral to a predictive model used to analyze the data parameters identified by the one of the plurality of sets of data parameters.
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December 20, 2017
October 27, 2020
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